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Face Swap AI

About FaceSwapAI

Last Updated: 2026-05-04

FaceSwapAI engineering team developing AI algorithms

What FaceSwapAI Is

FaceSwapAI (faceswapai.com) is a free consumer AI face-swap platform built for social-media creators, meme communities, and casual users curious about identity transformation. Since launch in 2023, the platform has processed over 10 million face-swap operations across 200+ specialized AI tools — from baby-prediction and aging filters to anime portrait generation and group-photo multi-face swaps.

FaceSwapAI is the consumer sister brand of DeepSwapAI, our professional/agency platform. We are independent of the unrelated deepswap.ai product. See /trust for full positioning.

Technology Stack

FaceSwapAI is engineered with a focus on inference speed, output fidelity, and operational reliability:

Frontend: Next.js 15 (App Router, React 19), next-intl 4.3 for 11-language i18n, TailwindCSS 4. 13,500+ pages pre-rendered as static HTML for sub-100ms origin TTFB.

Face Detection: 68-point HRNet landmark model with sub-pixel accuracy across pose variation, lighting changes, and occlusion. Multi-face support up to 50 simultaneous detections.

Generation Pipeline: Proprietary GAN architecture for face-swap inference, trained on diverse demographics (no proprietary user-data — see Privacy section). Color-correction layer using LAB color space for skin-tone matching across source/target.

Video Pipeline: Temporal coherence engine with independent motion-vector tracking per frame, eliminating inter-frame flicker that plagues simpler face-swap output. Up to 1080p output on free tier, supports MP4, MOV, AVI, WebM.

Infrastructure: GPU clusters (NVIDIA A100/H100), Cloudflare CDN, BullMQ task queue with Redis 7, Prisma 6.19 ORM, PostgreSQL 15.

Privacy by Design

Privacy is not a feature; it is the architecture. FaceSwapAI is engineered to comply with GDPR Article 5 data minimization, California CCPA, and Illinois BIPA biometric privacy law:

24-hour auto-deletion: Every uploaded image and video is permanently purged within 24 hours of upload. There are no backups, archives, or mirrored copies retained beyond this window.

No model training on user data: Your face is never used to train, fine-tune, or improve our AI models. We extract transient facial landmarks during processing only — these are not persistent biometric templates as defined by BIPA Section 14/10.

TLS 1.3 in transit, AES-256 at rest: Every byte of user content is encrypted both during transfer and during the brief processing window before deletion.

No tracking pixels in shared output: Your downloaded face-swap files contain no embedded identifiers traceable back to your account.

C2PA Content Credentials: Every export is cryptographically signed per the C2PA 2.1 specification, enabling downstream platforms to verify provenance and AI-generation status. Required by EU AI Act Article 50 for distribution in the European Union.

Standards & Compliance

FaceSwapAI maintains active compliance with the following frameworks (effective dates listed):

GDPR (EU 2016/679, effective 2018-05-25) — DPO contact via /privacyCCPA (California, effective 2020-01-01) • BIPA (Illinois 740 ILCS 14, in force since 2008) • TAKE IT DOWN Act 2025 (U.S. federal, NCII removal SLA 48h) • EU AI Act (Regulation 2024/1689, deepfake disclosure under Article 50, in force 2026-08-02) • C2PA Content Credentials (cross-industry content provenance standard, Adobe + Microsoft + BBC + others) • NCMEC CyberTipline reporting on confirmed CSAM

Detailed compliance verification at /trust. Audit trail and DPO contact at /privacy.

Open Source We Build On

FaceSwapAI is grateful to the open-source community. Components we depend on:

Next.js (Vercel, MIT License) — full-stack framework • next-intl (Yannick Lendrick, MIT License) — i18n with 11-locale support • React (Meta, MIT License) — UI library • TailwindCSS (Tailwind Labs, MIT License) — utility-first CSS • Prisma (Prisma Labs, Apache 2.0) — type-safe ORM • BullMQ (Manuel Lemos, MIT License) — Redis-backed task queue • HRNet (open research from Microsoft Research / Sun et al. 2019) — facial landmark detection inspiration • Schema.org vocabulary for structured data

We contribute back: bug reports, documentation patches, and ecosystem support where applicable.

Contact

We read every email. For:

General support: [email protected]Privacy / GDPR / CCPA / BIPA: [email protected]Safety / NCII / minor concerns: [email protected] (24/7 monitoring; emergency requests prioritized) • Copyright / DMCA: [email protected]Security disclosures (RFC 9116): [email protected] or /.well-known/security.txtBusiness / partnerships: [email protected]Legal / regulatory: [email protected]

Response SLA: General support 24h business hours. Safety reports 4h. Critical security 1h.

For enterprise / agency-tier face swap needs (4K output, 10-min videos, REST API at scale), see our sister platform at https://deepswapai.com.

About FaceSwapAI | Free Consumer AI Face Swap Since 2023